bar_list_flavor_axes

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears the full behavioral burden. It adds useful domain context (per-category, integer-scored, gin's 7-axis 0–3 system) and 'List' implies a read-only operation, but it does not state permissions, error behavior, or paging. Adequate but not rich for an annotation-free tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the core action and scoping constraint. Every sentence adds value (what it lists, the scoring model, and the intended workflow) with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained. The description covers purpose, usage, and domain model adequately; the only minor gap is the absence of valid category values, which matters because 'category' drives the whole result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the sole parameter 'category' has a default of 'gin'. The description partially compensates by explaining axes are per-category and giving 'gin' as an example value, but does not enumerate valid categories or describe the effect of an unknown category, leaving the parameter partly under-explained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('List the flavor axes defined for a category') and immediately clarifies that axes are per-category. An agent can distinguish it from bar_get_flavor_profile (retrieves a profile) and bar_set_flavor_profile without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says to use this 'to discover valid axis names before setting profiles or slot constraints,' which routes the agent to the profile/constraint setters. It stops short of naming the specific sibling tools or stating any exclusions, so no explicit when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.